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1)  normalized cross-correlation
归一化互相关
1.
New pitch detection algorithm based on LPC and normalized cross-correlation
基于线性预测与归一化互相关的基音检测
2.
An image registration technique is present that is based template matching by normalized cross-correlation.
对校正后的实时图,本文采用归一化互相关方法,进行模板匹配。
3.
Then,normalized cross-correlation matching and probability support matching method are used to match the images feature points.
然后利用归一化互相关匹配法和概率支撑法对特征点进行匹配。
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2)  normalized cross correlation
归一化互相关
1.
Unlike traditional normalized cross correlation algorithm which only use edge points for matching,our new method imbedded local image information into cross correlation algorithm.
传统的基于边缘的归一化互相关算法仅仅利用边缘点进行匹配,新算法不仅利用边缘点,而且将图像边缘点附近的结构信息嵌入到匹配算法中。
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3)  Normalized Cross Correlation (NCC)
归一化互相关(NCC)
4)  Normalized edge magnitude cross correlation
归一化边缘强度互相关
5)  Normalized cross correlation function
归一化互相关函数
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6)  normalized cross correlation coefficient
归一化互相关系数
1.
A new method for image sequence object detection based on the normalized cross correlation coefficient is proposed.
提出一种基于归一化互相关系数的图像序列运动目标检测方法。
补充资料：分工负责、互相配合、互相制约的原则
    　　见《中华人民共和国刑事诉讼法》、职权原则。
　　

说明：补充资料仅用于学习参考，请勿用于其它任何用途。
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